deepfake detection
Gen Digital partners with Intel to deploy hardware-accelerated deepfake detection directly on consumer devices, enabling real-time protection against AI-generated scam calls and video fraud.
LLM Agents
New research presents SimpleMem, an efficient memory architecture enabling LLM agents to maintain persistent context across extended interactions without traditional retrieval overhead.
AI Agents
New research introduces Orchestral AI, a framework for coordinating multiple AI agents in complex workflows, addressing key challenges in task distribution and agent communication.
Explainable AI
Researchers introduce prompt-counterfactual explanations, a new method for understanding generative AI behavior by identifying minimal prompt changes that alter outputs.
LLM infrastructure
New research proposes joint encoding of KV-cache blocks to improve memory efficiency in large language model inference, addressing a key bottleneck in scalable AI deployment.
neural architecture
New research explores whether large language models can creatively design novel neural network architectures rather than simply recombining existing patterns from training data.
LLM Fine-Tuning
New open-source framework Chronicals claims significant performance gains over popular fine-tuning tool Unsloth, promising faster and more efficient LLM training for researchers and developers.
deepfake detection
OmniSpeech debuts its AI-powered deepfake audio detection tool on Zoom Marketplace, enabling real-time verification of speaker authenticity during video calls to combat voice cloning fraud.
deepfake fraud
AI-powered deepfake scams are targeting U.S. churches, using voice cloning and synthetic video to impersonate pastors and defraud congregations in a troubling new wave of social engineering attacks.
voice cloning
Resemble AI CEO Zohaib Ahmed discusses the evolving landscape of voice cloning technology, AI-generated audio authenticity, and the company's approach to responsible synthetic voice development.
Diffusion Models
Researchers propose coarse-grained Kullback-Leibler control for diffusion models, enabling more efficient guidance without full distribution knowledge. The method could improve AI image and video generation quality.
vision-language-models
Researchers introduce SPoRC-VIST, a benchmark designed to evaluate how well vision-language models generate natural narratives from image sequences, addressing key gaps in AI visual storytelling assessment.